Enables AI assistants to perform MLOps workflows such as experiment tracking, model registry, dataset management, pipeline orchestration, and data lineage by wrapping DVC, MLflow, and Git.
Enables natural language management of the full ML lifecycle including experiments, model registration, deployment, and pipeline orchestration through a conversational agent.